Use AI to Assist In-Depth Reading of Computational Complexity Theory Papers

Jie Wang (University of Massachusetts, Lowell)

I'll present an AI-assisted reading system built on a reliable paradigm we call Adaptive Fault-Avoidance LLM-Oracle Computation to ensure content accuracy and consistency. It empowers students to become efficient learners from written materials by providing a suite of tools that craft custom summaries, highlight inquired topics, answer in-depth inquiries, explain math expressions, and spark inspiration. It also helps users organize and keep track of their study sessions and learning materials, making the learning process smoother and more efficient. In this talk, I will demonstrate reading a paper by Prof. Leonid Levin using this system.